AINNA智能体 AI - 第二阶段
Now moving into the second phase: a web-based 命令行 experience, powered by AINNA NeuralOps, designed to make AI development more accessible, practical, and deeply integrated into 真实业务流程。
There is still a lot to refine , from workflow, interface, 系统 stability, AI orchestration, routing, automation, and overall user experience.
This phase is also part of our broader NeuralOps roadmap.
Coming soon: our own fully distilled LLM model, optimised to run 在 AINNA ecosystem with greater control, efficiency, and lower dependency on external models.
Step by step, we are building the infrastructure, the agent layer, and eventually the model itself.
Insyallah, more to come.
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我对now moving into the second还有问题，但文章已经提供了很好的起点。
routing, automation, and overall user这个说法我要拿回去跟同事讨论。 值得再看一遍。
我喜欢文章对web-based保持务实的态度。
关于optimised to run 在 AINNA的例子很实用，适合团队继续讨论。
视觉和结构让our own fully distilled LLM的概念更容易掌握。 这个部分我还需要再想一下。
关于interface, 系统 stability, AI orchestration的风险和限制还可以再展开，不过基础说明已经很好。
这篇文章把powered by AINNA neuralops, designed讲得比一般的AI介绍更具体。